A university is applying dassification methods in order to identify alumni who may be interested in donating money. The

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A university is applying dassification methods in order to identify alumni who may be interested in donating money. The university has a database of 58,205 alumni profites containing numerous variables. Of these 58,205 alumni, only 576 have donated in the past. The university has aversampled the data and trained a random forest of 100 class fication trees. For a cutoff value of 0.5, the following confusion matrix summarizes the performance of the random forest on a validation set: The following table lists some information of individual observations from the validation set: (a) Choose the correct explanation for how the probability of Donation was computed for the three observations. (i) The probability of Donation for each observation is the ratio of the individual ciassification trees that classifled the observation as "No Donation" and those that classified it as "Donation," (ii) The probability of Donation for each observetion is the proportion of the 100 individual classification trees that classified the observation as "Donation. (iii) The probability of Donation for each observation is the proportion of the 100 individual classification trees that ciassified the observation as "No Donation. (Iv) The probabilicy of Donation for each obervation is the ratio of the individual classufication trees that classified the observation as "Donation" and those that classified it as "No gonation " Why were Observations A and C classified as Donation and Oorervation 8 was ciassified as No Donation?
Why were Observations A and C classified as Donation and Observation B was classified as No Donation? If required, round your answers to one decimal place. The probability of Donation for Observation A is It. than 0.5, 50 Observation A is classified as Donation by the randorn forest. The probability of Donation for Observation B is -If than 0.5, so Ooservatian di is cassified as No Donation by the random forest. The probability of Donation for Observation C is It is than 0.5, so Observation C is classified as Donation by the random forest. (b) Compute the values of accuracy, sensitivity, specificity, and prectsion. Explain why accuracy is a miveading measure to consider in this case. Evaluate the performance of the random forest, particularly commenting on the precision measure. If required, round your answer to three decimal places. Accuracy = If required, round your answers to the nearest whole percentage. W of the alumni in the dota have conated. Accuracy is not the best measure to use for unbalanced data sets because less than
If required, round your answers to one decimal place. by the tandom feresk. (b) Compute the values of accuracy, sensitivity, specificity, and precision. Expiain why accuracy is a mislead og measure to consider in this case. Evaluate the performance of the random forest, particularty commenting on the precisien measure. If required, round your answer to three decimal places. Aceuracy = If required, round your answers to the nearest whole percentage. Accuracy is not the best measure to use for unbalanced data sets because lass than W of the alumni in the daca have donated. If required, round your arswers foe Sensitivity and Specificty to three decimal places and round your answer for Precision to four decimal places. Sersitivisy = Specificify = Predsion =
(b) Compute the values of accuracy, sensitivity, specificity, and precislan. Explain why accuracy is a misleading measure to consider in this case. Evaluate the performance af the randarn forest, particularty cammenting on the precision measure. If required, round your arswer to three dedmal places. If required, round your answers to the nearest whole percentagt. Es of the alumni in the data hove donated. Accuracy is not the best measure to use for unbalanced data sets because less then If required, round your answers for Sensittity and Specifithy to three decmal places and round your ancwer for Precision to four decimal places. Sensitivity = Specifity = Precision = The value of precision seems disturbing random forest as denations, there - Select your answe. - The precistan measure represents the percentage of alumni classifled by the Iring the value of precision with the proportion of observations corresponding to hent in the ability to target alumni whdt tay be mere likely to donate.
The probability of Donation for Observation C is by the random forest. than 0.5, so Observation C is ciassifed as Donation Compute the values of accuracy, sensitivity, spedficity, and precision. Explain why accuracy is a mislesding measure to consider in this case. Evaiuate the performance of the random forest, particularly commenting on the precision measure. If required, round your answer to three decmal places: Accuracy = If required, round your answers to the nearest whole percentaje. W of the alumni in the data nave donated. Accuracy is not the best measure to use for unbalanced data sets because less than If required, round your answers for Sensitivity and Specifcity to three decmal places and round your answer for Precision to four decimsl places. Sensitivity = Specificity = Precision = The value of precision scems disturbingly The presision measure represents the percentage of alumni dassified by the randem forest that are donors. Comparing the value of precision with the proportion of observations corresponding to. a tremendous improvement In the abaity to target alumni who may be more licely to donate. donations, ther
If required, round your answer to three decimal places. Aceuracy = If required, round your answers to the nearest whole percentage. \% of the alumnil In the data have domated. Accuracy is not the best measure to use for unbalanced data sets because loss than If reeulred, round your answers for Sensitivity and Specificity to three decimal places and round your answer for Precision to four dedmal places. Sensitivity = 5 sedficity = Preclsion = The value of precision seems disturbingly The precision meastre represents the percentage of alumni classified by the random forest as that are donors. Comparing the value of precision with the proportion of observations corresponding to donations, ther a tremendous improvement in the ability to target alumnil who may be more likely to donate.